Search Results (48)

Adaptive cluster sampling is a methodology designed for data collection in contexts where the population is rare and spatially clustered. This approach has been effectively applied in various disciplines, including epidemiology and resource management. The present study introduces novel estimators that incorporate auxiliary variable information to improve estimation efficiency. These estimators were developed using the jackknife resampling technique to improve the performance of ratio-type estimators. Theoretical properties, including bias and mean square error (MSE), were derived, and a simulation study was conducted to validate the theoretical findings. The results demonstrated that the proposed estimators consistently outperformed conventional estimators that do not utilize auxiliary variables across all network sample sizes. Furthermore, in several scenarios, the proposed estimators also exhibited superior efficiency to existing ratio estimators that do incorporate auxiliary information. Full article

Background/Objectives: Primary prevention, germline, familial, or other pre- or post-diagnostic and standard treatment-elevated progression or recurrence risk and mitigating adverse events from systemic treatment are all clinical opportunities to reduce the risk of lethal prostate cancer. This review attempted to provide a practical and realistic consensus via an international committee of experts who, in general, harbor career-long experience in this discipline. Methods: A PubMed review primarily utilizing the latest meta-analyses, systematic reviews, and methodologically robust epidemiologic recent data adjusting for multiple confounding variables was conducted. The goal of this committee was to highlight tangible options for clinicians and patients. Results: Behavioral patterns and metrics known to reduce cardiovascular morbidity, mortality, and all-cause mortality (premature death) appear to prevent numerous lethal common cancers, including prostate cancer. This practical approach allows for the greatest probability of patient success since cardiovascular disease (CVD) is the primary cause of death in men with and without prostate cancer, and a notable source of morbidity and mortality in men with advanced disease due to systemic conventional treatment as well as the inflammatory contribution of cancer itself. Heart-healthy dietary patterns, exercise, healthy weight/waist circumference, eliminating tobacco, minimizing alcohol exposure, and other behaviors to reduce the risk of CVD should be prioritized. CVD-preventive medications, including aspirin, GLP-1 agonists, metformin, statins, etc., should receive attention to improve compliance for those that already qualify for these agents and to increase the probability of enhancing the quality and quantity of life. Dietary supplements do not have favorable data currently to espouse their utilization to prevent lethal prostate cancer but may have an ancillary role in mitigating some adverse effects of treatment. Conclusions: Remarkably, heart-healthy lifestyle changes, metrics, and promising repurposed medications known to reduce cardiovascular events, promote longevity, and improve mental health could simultaneously prevent lethal prostate cancer. This serendipitous association provides clinicians and their patients a higher probability of success, regardless of their prostate cancer pathway or circumstance. Full article

Introduction: Para-cycling is a competitive sport governed by the World Body for Cycling, Union Cycliste Internationale (UCI), encompassing various cycling disciplines tailored to athletes with physical or visual impairments. This study aimed to prospectively monitor the incidence of injury and illness in Para cyclists during the 2024 Paralympic season. Methods: This prospective, observational study included ten professional Para cyclists (five male, five female) with impairments ranging from spinal cord-related, neuromuscular, and musculoskeletal conditions to vision impairment. The definitions of an ‘athlete health problem’, ‘injury’, and ‘illnesses’ followed the Para sport translation of the IOC consensus. Injury and illness data were collected weekly using the Oslo Sports Trauma Research Centre Questionnaire on Health Problems V2 (OSTRC-H2), with the addition of subjective markers of well-being and training load, between February 2024 and October 2024. All medical contacts for any injury or illness were logged in line with consensus statement recommendations. Results: The OSTRC-H2 questionnaire had a response rate of 76.5% (±12.2%, range 55–88%) across the 35 weeks. Athletes reported 7.36 (95% CI: 5.41–9.46) health problems per 365 days, with a medical attention rate of 5.56 (95% CI: 3.91–7.36) per 365 days. The overall injury rate was 1.94 per 365 athlete days (95% CI: 1.23–2.93), with a higher incidence in males (2.44, 95% CI: 1.53–3.67) than in females (1.51, 95% CI: 0.68–2.95). Conversely, illness rates were higher in females (5.40, 95% CI: 3.00–8.11) than in males (1.80, 95% CI: 0.60–3.30), with an overall illness rate of 3.60 per 365 days (95% CI: 2.29–5.10). Conclusions: This is the first study to present prospective injury and illness epidemiology rates in Para cyclists in combination with subjective well-being markers. The findings underscore the importance and feasibility of longitudinal health monitoring in Para cyclists, ensuring that both physical and mental health concerns are systematically tracked and addressed. This enables a proactive, multidisciplinary support system to respond effectively to fluctuations in well-being, particularly during periods of injury or illness. Full article

Quantitative Polymerase Chain Reaction (qPCR) is a molecular technique that has become a gold standard in various disciplines, including environmental microbiology, due to its high sensitivity and specificity. In recent years, it has been extensively used in wastewater-based epidemiology to monitor the prevalence of different viruses in the population. In this study, we evaluated whether the no inclusion of a standard curve in each single experiment to reduce time and costs could have an impact on the accuracy of the results. Thirty independent RT-qPCR standard curve experiments using quantitative synthetic RNA material were conducted for seven different viruses, which include two targets of the novel SARS-CoV-2, hepatitis A and E, noroviruses genogroups I and II, human astrovirus, and rotavirus. Results showed that although all the viruses presented adequate efficiency rates (>90%), variability was also observed between them, independently of the viral concentration tested. NoVGII was the virus that presented the higher inter-assay variability in terms of efficiency while showing better sensitivity. In terms of heterogeneity in results, the two targets of SARS-CoV-2 showed the highest rates, being N2 the gene that presented the largest variability (CV 4.38–4.99%) and the lowest efficiency (90.97%). These findings indicate that including a standard curve in every experiment is recommended to obtain reliable results. Full article

Background: The medical humanities (MH) are important in medical education, and one of the most relevant is medical anthropology. This discipline constitutes the bridge between the biomedical world and the human sciences because it can detect social, cultural, and psychological variables that can act as barriers to the provision of medical services in epidemic contexts, combining knowledge of pathologies in different cultures and epidemiology. Based on what has been reported so far, this article starts with a research question: what is the role of medical anthropology in medical education? Methods: A scoping review was established according to the PRISMAScR method to try to understand the role of this discipline in medical education. Results: In total, 22 articles were included, and the extracted data were organized into different themes: the reasons for teaching anthropology to medical students, methods used that are useful for medical students, teaching methods and techniques, and some problems regarding anthropology in medical education. Conclusions: The MH may support the decision-making of physicians, thus improving several physician skills to deliver the most appropriate care to patients. On the other hand, medical sciences may provide important feedback on medical anthropology to have an actual impact on curing and caring processes. Full article

A multidisciplinary approach to the management of tongue cancer is vital for achieving optimal patient outcomes. Nursing and allied health professionals play essential roles within the team. We developed symposia comprising a series of online lectures offering a detailed perspective on the role each discipline and consumer perspective has in the management of patients with tongue cancer. The topics, including epidemiology and prevention, diagnosis, treatment planning, surgery, adjuvant care, and the management of recurrent or metastatic disease, were thoroughly examined. The symposia highlighted the significance of fostering collaboration and continuous learning through a multidisciplinary approach. This initiative should be relevant to healthcare professionals, researchers, and policymakers striving to enhance patient outcomes in tongue cancer care through innovative collaboration. Full article

(1) Background: The purpose of this study was to analyze the number of injuries in the canoe and kayak disciplines. (2) Methods: A cross-sectional and retrospective epidemiological study was conducted on a convenience sample of elite canoeists and kayakers during the Spanish Championships of each canoeing and kayaking modality. Retrospective data were collected on the number, body area, type, and severity of injuries sustained in previous seasons, as well as other affiliation data. Four separate multiple linear regression models were used to investigate the impact of the sports mode of canoeing, age, and sex on the occurrence of injuries. (3) Results: The findings indicate a distinction in injury frequency between canoeing and kayaking modalities, with injuries being more common in canoeing. The occurrence of mild injuries decreases with age among canoeists, while remaining consistent in kayaking. As athletes age, confidence intervals increase. Canoeists have a higher injury probability, and across all injury types, men have a lower injury risk. (4) Conclusions: The frequency of injuries is higher in the canoe modality across all age groups. Coaches and athletes should be well-informed about the insights provided in this study to implement targeted injury prevention strategies, especially in women canoeists. Full article

Para-archery and para-shooting, two very popular adaptive shooting disciplines that have earned their place as major official events in the Paralympic Games, share some similarities, as well as distinctive features in terms of rules, physiological requirements, and equipment used. The International Paralympic Committee has a clear responsibility to ensure that all sports within its jurisdiction, including adaptive shooting, can achieve excellence in their respective fields. To achieve this, the conduct of well-designed studies and rigorous research is essential. Although some research has been conducted in this area, a comprehensive and systematic evaluation is still needed. Therefore, the present study aims to provide a thorough review and synthesis of existing research on adaptive shooting disciplines, identify strengths and gaps, and suggest future directions. Arksey and O’Malley’s methodology is leveraged and enhanced with bibliometric and policy analyses to review literature on adaptive shooting. Databases like PubMed/MEDLINE, Scopus, Web of Science, OvidSP, and EMBASE were searched, focusing on studies in adaptive shooting disciplines and analysing these findings through a blend of thematic and statistical methods. Twenty-four studies totalling 483 para-athletes (299 para-shooters and 184 para-archers) are included in this scoping review, focusing on a range of aspects, including physiological responses (n = 9), research design and measurement methods for evidence-based classification (n = 6), biopsychosocial aspects (n = 3), development of new methods and technologies (n = 4), kinematic and biomechanical assessment (n = 1), and epidemiology of injuries (n = 1). Seven articles focused exclusively on para-archery, thirteen exclusively on para-shooting, and four on both para-archery and para-shooting. In conclusion, the available literature on adaptive shooting disciplines is still very limited, especially regarding para-archery compared to para-shooting. This highlights the need for further research in many key areas to ensure a better understanding of the different disciplines and to provide appropriate support for para-athletes. Future research in para-archery and para-shooting should focus on technological innovations, biomechanical studies, and psychological support to enhance athlete performance and accessibility. Addressing the imbalance between the two disciplines, along with injury prevention and global participation, can drive the sports towards greater inclusivity and equity for para-athletes worldwide. Full article

Based mainly on their personal experience, the authors try to describe the origin of cardiovascular disease (CVD) epidemiology and the problems and difficulties practitioners attempted to tackle and solve during the first few decades of this discipline, which started around the middle of the last century. Beyond identifying the characteristics of those who became CVD epidemiologists, a description is given of the initial structures of the involved studies, participation rates, risk factors measurements and standardization, clinical measurements and diagnostic criteria, mortality data collection and coding, data loading and analysis, plus a number of problems still unsolved at the beginning of the 2000s. Despite many obstacles, and the initial hostility of the medical–scientific establishment, CVD epidemiology represented a revolution in researching in the bio-medical field. In the end, it also affected clinical research introducing the use of the quantitative approach bound to mathematical–statistical procedures. After decades of hard work and the development of a number of innovative tools, CVD epidemiology received its deserved recognition, eventually being accepted as a reputable and independent scientific discipline. Yet, in several countries, especially those from Southern Europe, an academic recognition of CVD epidemiology is still lacking. Full article

Cardio-oncology currently faces one of the greatest challenges in the field of health care. The main goal of this discipline is to ensure that patients treated for cancer do not suffer or die from cardiovascular disease. The number of studies on the mechanisms of heart injury during cancer treatment is constantly increasing. However, there is insufficient data on heart rhythm disorders that may result from this treatment. This issue seems to be particularly important in patients with lung cancer, in whom anticancer therapy, especially radiotherapy, may contribute to the onset of cardiac arrhythmias. The observed relationship between cardiac dosimetry and radiotherapy-induced cardiotoxicity in lung cancer treatment may explain the increased mortality from cardiovascular causes in patients after chest irradiation. Further research is essential to elucidate the role of cardiac arrhythmias in this context. Conversely, recent reports have highlighted the application of stereotactic arrhythmia radioablation (STAR) in the treatment of ventricular tachycardia. This review of available studies on the epidemiology, pathogenesis, diagnosis, and treatment of arrhythmias in patients treated for lung cancer aims to draw attention to the need for regular cardiological monitoring in this group of patients. Improving cardiac care for patients with lung cancer has the potential to enhance their overall therapeutic outcomes. Full article

Cardiac surgery is a modern science in the history of medicine. The impact of cardiac disease, in terms of treatment and prognosis, has made this discipline indispensable to global health. In recent decades, the greatest investment has been dispensed to technological and material improvements to increase life expectancy. This surgery must address different epidemiological aspects dictated by the geography and economic–social conditions of the global populations. For this reason, it is progressively important to address the cardiac surgery accessibility disparity. Many scientific papers and international meetings have studied how cardiac surgery can be more accessible in various countries around the world. In this review, we analyze all the challenges, solutions, and suggestions that can make this surgery accessible to the entire global population, with the purpose of reducing its disparity across all seven continents. For a long time, high-income countries have invested in technological capabilities and experimental advancements without caring about unequal access in the rest of the world. We believe that it is time to reverse this growth trajectory, placing the accessibility and distribution of surgical science as a priority, which is significant for the right to health of all people worldwide. This is the real new challenge in cardiosurgery. Full article

The World Health Organization (WHO) added Disease X to their shortlist of blueprint priority diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic. During different virus outbreaks of the past, such as COVID-19, Influenza, Lyme Disease, and Zika virus, researchers from various disciplines utilized Google Trends to mine multimodal components of web behavior to study, investigate, and analyze the global awareness, preparedness, and response associated with these respective virus outbreaks. As the world prepares for Disease X, a dataset on web behavior related to Disease X would be crucial to contribute towards the timely advancement of research in this field. Furthermore, none of the prior works in this field have focused on the development of a dataset to compile relevant web behavior data, which would help to prepare for Disease X. To address these research challenges, this work presents a dataset of web behavior related to Disease X, which emerged from different geographic regions of the world, between February 2018 and August 2023. Specifically, this dataset presents the search interests related to Disease X from 94 geographic regions. These regions were chosen for data mining as these regions recorded significant search interests related to Disease X during this timeframe. The dataset was developed by collecting data using Google Trends. The relevant search interests for all these regions for each month in this time range are available in this dataset. This paper also discusses the compliance of this dataset with the FAIR principles of scientific data management. Finally, an analysis of this dataset is presented to uphold the applicability, relevance, and usefulness of this dataset for the investigation of different research questions in the interrelated fields of Big Data, Data Mining, Healthcare, Epidemiology, and Data Analysis with a specific focus on Disease X. Full article

Background: Students are a priority population in mental health research. This study aimed to explore the risk factors of anxiety and depression symptoms among college students in Chongqing, a megacity under the impact of COVID-19, and to provide a basis for determining the priorities of public health policies and implementing effective educational health care interventions. Methods: In this cross-sectional study conducted in Chongqing, China, the data came from web-based stratified random sampling. Anxiety and depression symptoms were measured by the Self-Rating Anxiety Scale (SAS) and the Center for Epidemiological Studies Depression Scale (CES-D), respectively, and risk factors were analyzed by logistic regression. Results: Data were obtained from 915 college students (34.75% were male, and 65.25% were female) with age (20.29 ± 1.51) in Chongqing, China. The prevalence rates of anxiety and depression were 19.78% and 22.62%, respectively. Logistic regression analysis revealed that the risk factors of anxiety symptoms were associated with junior years, sleep time of less than 6 h a day, influence on career planning, and depression symptoms. Comprehensive, science and engineering, and medicine disciplines, having siblings, poorer mastery of study, and anxiety symptoms were risk factors for developing depression symptoms. Conclusions: During the pandemic, college students experienced varying degrees of anxiety and depression. Our research findings highlight the necessity of universities and relevant departments providing precise mental health education for college students under major public health emergencies. Full article

In the last decade and a half, the world has experienced outbreaks of a range of viruses such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS), measles, and West Nile virus, just to name a few. During these virus outbreaks, the usage and effectiveness of social media platforms increased significantly, as such platforms served as virtual communities, enabling their users to share and exchange information, news, perspectives, opinions, ideas, and comments related to the outbreaks. Analysis of this Big Data of conversations related to virus outbreaks using concepts of Natural Language Processing such as Topic Modeling has attracted the attention of researchers from different disciplines such as Healthcare, Epidemiology, Data Science, Medicine, and Computer Science. The recent outbreak of the MPox virus has resulted in a tremendous increase in the usage of Twitter. Prior works in this area of research have primarily focused on the sentiment analysis and content analysis of these Tweets, and the few works that have focused on topic modeling have multiple limitations. This paper aims to address this research gap and makes two scientific contributions to this field. First, it presents the results of performing Topic Modeling on 601,432 Tweets about the 2022 Mpox outbreak that were posted on Twitter between 7 May 2022 and 3 March 2023. The results indicate that the conversations on Twitter related to Mpox during this time range may be broadly categorized into four distinct themes—Views and Perspectives about Mpox, Updates on Cases and Investigations about Mpox, Mpox and the LGBTQIA+ Community, and Mpox and COVID-19. Second, the paper presents the findings from the analysis of these Tweets. The results show that the theme that was most popular on Twitter (in terms of the number of Tweets posted) during this time range was Views and Perspectives about Mpox. This was followed by the theme of Mpox and the LGBTQIA+ Community, which was followed by the themes of Mpox and COVID-19 and Updates on Cases and Investigations about Mpox, respectively. Finally, a comparison with related studies in this area of research is also presented to highlight the novelty and significance of this research work. Full article

The public health emergency caused by the COVID-19 pandemic stimulated stakeholders from diverse disciplines and institutions to establish new collaborations to produce informed public health responses to the disease. Wastewater-based epidemiology for COVID-19 grew quickly during the pandemic and required the rapid implementation of such collaborations. The objective of this article is to describe the challenges and results of new relationships developed in Detroit, MI, USA among a medical school and an engineering college at an academic institution (Wayne State University), the local health department (Detroit Health Department), and an environmental services company (LimnoTech) to utilize markers of the COVID-19 virus, SARS-CoV-2, in wastewater for the goal of managing COVID-19 outbreaks. Our collaborative team resolved questions related to sewershed selection, communication of results, and public health responses and addressed technical challenges that included ground-truthing the sewer maps, overcoming supply chain issues, improving the speed and sensitivity of measurements, and training new personnel to deal with a new disease under pandemic conditions. Recognition of our complementary roles and clear communication among the partners enabled city-wide wastewater data to inform public health responses within a few months of the availability of funding in 2020, and to make improvements in sensitivity and understanding to be made as the pandemic progressed and evolved. As a result, the outbreaks of COVID-19 in Detroit in fall and winter 2021–2022 (corresponding to Delta and Omicron variant outbreaks) were tracked in 20 sewersheds. Data comparing community- and hospital-associated sewersheds indicate a one- to two-week advance warning in the community of subsequent peaks in viral markers in hospital sewersheds. The new institutional relationships impelled by the pandemic provide a good basis for continuing collaborations to utilize wastewater-based human and pathogen data for improving the public health in the future. Full article